Package: countgmifs 0.0.2

countgmifs: Discrete Response Regression for High-Dimensional Data

Provides a function for fitting Poisson and negative binomial regression models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.

Authors:Kellie Archer [aut, cre]

countgmifs_0.0.2.tar.gz
countgmifs_0.0.2.zip(r-4.5)countgmifs_0.0.2.zip(r-4.4)countgmifs_0.0.2.zip(r-4.3)
countgmifs_0.0.2.tgz(r-4.4-any)countgmifs_0.0.2.tgz(r-4.3-any)
countgmifs_0.0.2.tar.gz(r-4.5-noble)countgmifs_0.0.2.tar.gz(r-4.4-noble)
countgmifs_0.0.2.tgz(r-4.4-emscripten)countgmifs_0.0.2.tgz(r-4.3-emscripten)
countgmifs.pdf |countgmifs.html✨
countgmifs/json (API)
NEWS

# Install 'countgmifs' in R:
install.packages('countgmifs', repos = c('https://kelliejarcher.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kelliejarcher/countgmifs/issues

On CRAN:

1 exports 0.92 score 1 dependencies 1 mentions 1 scripts 151 downloads

Last updated 2 years agofrom:b94d7caea3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:countgmifs

Dependencies:MASS

An R Package for Discrete Response Modeling for High-Dimensional Data

Rendered fromcountgmifs.rnwusingutils::Sweaveon Aug 25 2024.

Last update: 2022-04-06
Started: 2022-04-06